Cargando…
Forecasting and Surveillance of COVID-19 Spread Using Google Trends: Literature Review
The probability of future Coronavirus Disease (COVID)-19 waves remains high, thus COVID-19 surveillance and forecasting remains important. Online search engines harvest vast amounts of data from the general population in real time and make these data publicly accessible via such tools as Google Tren...
Autores principales: | Saegner, Tobias, Austys, Donatas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566212/ https://www.ncbi.nlm.nih.gov/pubmed/36231693 http://dx.doi.org/10.3390/ijerph191912394 |
Ejemplares similares
-
Forecasting spread of COVID-19 using google trends: A hybrid GWO-deep learning approach()
por: Prasanth, Sikakollu, et al.
Publicado: (2021) -
Influenza Forecasting with Google Flu Trends
por: Dugas, Andrea Freyer, et al.
Publicado: (2013) -
Influenza Forecasting with Google Flu Trends
por: Dugas, Andrea F., et al.
Publicado: (2013) -
Dynamic Forecasting of Zika Epidemics Using Google Trends
por: Teng, Yue, et al.
Publicado: (2017) -
Vesicular stomatitis forecasting based on Google Trends
por: Wang, JianYing, et al.
Publicado: (2018)